Journal of Electrical and Electronic Engineering

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Characteristics Analysis and Modeling of Fault Sound and Background Noise of Large Central Air Conditioner

Received: Mar. 07, 2018    Accepted:     Published: Mar. 09, 2018
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Abstract

Performance of time delay estimation (TDE) algorithm directly affects effect of electromechanical equipment fault sound source positioning based on TDE. Designing more accurate algorithm based proper models of background noise and fault sound can improve accuracy of localization. Firstly, this paper analyzes the characteristics of noise and fault sound of external central air conditioners, then, models environmental noise using Alpha distribution. Finally, Analyzes measured data and preprocess them, realize the more appropriate modeling of environmental noise and eliminate operating noise sources interference. This study has a guiding significance in large-scale mechanical and electrical equipment failure sound source signal modeling, and is helpful to research on TDE algorithm.

DOI 10.11648/j.jeee.20180601.14
Published in Journal of Electrical and Electronic Engineering ( Volume 6, Issue 1, February 2018 )
Page(s) 20-25
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Electrical and Mechanical Equipment, Sound Source Positioning, TDE, Fault Sound Analysis, Noise Analysis and Process

References
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  • APA Style

    Li Junhao, Liu Wenhong. (2018). Characteristics Analysis and Modeling of Fault Sound and Background Noise of Large Central Air Conditioner. Journal of Electrical and Electronic Engineering, 6(1), 20-25. https://doi.org/10.11648/j.jeee.20180601.14

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    ACS Style

    Li Junhao; Liu Wenhong. Characteristics Analysis and Modeling of Fault Sound and Background Noise of Large Central Air Conditioner. J. Electr. Electron. Eng. 2018, 6(1), 20-25. doi: 10.11648/j.jeee.20180601.14

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    AMA Style

    Li Junhao, Liu Wenhong. Characteristics Analysis and Modeling of Fault Sound and Background Noise of Large Central Air Conditioner. J Electr Electron Eng. 2018;6(1):20-25. doi: 10.11648/j.jeee.20180601.14

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  • @article{10.11648/j.jeee.20180601.14,
      author = {Li Junhao and Liu Wenhong},
      title = {Characteristics Analysis and Modeling of Fault Sound and Background Noise of Large Central Air Conditioner},
      journal = {Journal of Electrical and Electronic Engineering},
      volume = {6},
      number = {1},
      pages = {20-25},
      doi = {10.11648/j.jeee.20180601.14},
      url = {https://doi.org/10.11648/j.jeee.20180601.14},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.jeee.20180601.14},
      abstract = {Performance of time delay estimation (TDE) algorithm directly affects effect of electromechanical equipment fault sound source positioning based on TDE. Designing more accurate algorithm based proper models of background noise and fault sound can improve accuracy of localization. Firstly, this paper analyzes the characteristics of noise and fault sound of external central air conditioners, then, models environmental noise using Alpha distribution. Finally, Analyzes measured data and preprocess them, realize the more appropriate modeling of environmental noise and eliminate operating noise sources interference. This study has a guiding significance in large-scale mechanical and electrical equipment failure sound source signal modeling, and is helpful to research on TDE algorithm.},
     year = {2018}
    }
    

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    AU  - Li Junhao
    AU  - Liu Wenhong
    Y1  - 2018/03/09
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    JF  - Journal of Electrical and Electronic Engineering
    JO  - Journal of Electrical and Electronic Engineering
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    AB  - Performance of time delay estimation (TDE) algorithm directly affects effect of electromechanical equipment fault sound source positioning based on TDE. Designing more accurate algorithm based proper models of background noise and fault sound can improve accuracy of localization. Firstly, this paper analyzes the characteristics of noise and fault sound of external central air conditioners, then, models environmental noise using Alpha distribution. Finally, Analyzes measured data and preprocess them, realize the more appropriate modeling of environmental noise and eliminate operating noise sources interference. This study has a guiding significance in large-scale mechanical and electrical equipment failure sound source signal modeling, and is helpful to research on TDE algorithm.
    VL  - 6
    IS  - 1
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Author Information
  • School of Electrical Engineering, Shanghai Dianji University, Shanghai, China

  • School of Electrical Engineering, Shanghai Dianji University, Shanghai, China; School of Electronic Information, Shanghai Dianji University, Shanghai, China

  • Section